Recurrent neural network architectures for event extraction from italian medical reports

Natalia Viani; Timothya Miller; Dmitriy Dligach; Steven Bethard; Carlo Napolitano; Silviag Priori; Riccardo Bellazzi; Lucia Sacchi; Guergana K. Savova

doi:10.1007/978-3-319-59758-4_21

Recurrent neural network architectures for event extraction from italian medical reports

Natalia Viani
, Timothya Miller
, Dmitriy Dligach
, Steven Bethard
, Carlo Napolitano
, Silviag Priori
, Riccardo Bellazzi
, Lucia Sacchi
, Guergana K. Savova

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings
Editors	Annette [surname]ten Teije, Christian Popow, Lucia Sacchi, John H. Holmes
Publisher	Springer Verlag
Pages	198-202
Number of pages	5
ISBN (Print)	9783319597577
DOIs	https://doi.org/10.1007/978-3-319-59758-4_21
State	Published - 2017
Event	16th Conference on Artificial Intelligence in Medicine, AIME 2017 - Vienna, Austria Duration: Jun 21 2017 → Jun 24 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10259 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th Conference on Artificial Intelligence in Medicine, AIME 2017
Country/Territory	Austria
City	Vienna
Period	6/21/17 → 6/24/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Information extraction
Natural language processing
Neural network models

Access to Document

10.1007/978-3-319-59758-4_21

Cite this

Viani, N., Miller, T., Dligach, D., Bethard, S., Napolitano, C., Priori, S., Bellazzi, R., Sacchi, L., & Savova, G. K. (2017). Recurrent neural network architectures for event extraction from italian medical reports. In A. [surname]ten Teije, C. Popow, L. Sacchi, & J. H. Holmes (Eds.), Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings (pp. 198-202). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10259 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-59758-4_21

Recurrent neural network architectures for event extraction from italian medical reports. / Viani, Natalia; Miller, Timothya; Dligach, Dmitriy et al.
Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. ed. / Annette [surname]ten Teije; Christian Popow; Lucia Sacchi; John H. Holmes. Springer Verlag, 2017. p. 198-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10259 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Viani, N, Miller, T, Dligach, D, Bethard, S, Napolitano, C, Priori, S, Bellazzi, R, Sacchi, L & Savova, GK 2017, Recurrent neural network architectures for event extraction from italian medical reports. in A [surname]ten Teije, C Popow, L Sacchi & JH Holmes (eds), Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10259 LNAI, Springer Verlag, pp. 198-202, 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, 6/21/17. https://doi.org/10.1007/978-3-319-59758-4_21

Viani N, Miller T, Dligach D, Bethard S, Napolitano C, Priori S et al. Recurrent neural network architectures for event extraction from italian medical reports. In [surname]ten Teije A, Popow C, Sacchi L, Holmes JH, editors, Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. Springer Verlag. 2017. p. 198-202. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59758-4_21

Viani, Natalia ; Miller, Timothya ; Dligach, Dmitriy et al. / Recurrent neural network architectures for event extraction from italian medical reports. Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. editor / Annette [surname]ten Teije ; Christian Popow ; Lucia Sacchi ; John H. Holmes. Springer Verlag, 2017. pp. 198-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Recurrent neural network architectures for event extraction from italian medical reports",

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author = "Natalia Viani and Timothya Miller and Dmitriy Dligach and Steven Bethard and Carlo Napolitano and Silviag Priori and Riccardo Bellazzi and Lucia Sacchi and Savova, \{Guergana K.\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 16th Conference on Artificial Intelligence in Medicine, AIME 2017 ; Conference date: 21-06-2017 Through 24-06-2017",

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AU - Miller, Timothya

AU - Dligach, Dmitriy

AU - Bethard, Steven

AU - Napolitano, Carlo

AU - Priori, Silviag

AU - Bellazzi, Riccardo

AU - Sacchi, Lucia

AU - Savova, Guergana K.

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KW - Information extraction

KW - Natural language processing

KW - Neural network models

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings

A2 - [surname]ten Teije, Annette

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A2 - Sacchi, Lucia

A2 - Holmes, John H.

PB - Springer Verlag

T2 - 16th Conference on Artificial Intelligence in Medicine, AIME 2017

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ER -

Recurrent neural network architectures for event extraction from italian medical reports

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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